Title :
Scheduling partitions in systolic algorithms
Author :
Suarez, Almudena ; Llaberia, J.M. ; Fernandez, Alicia
Author_Institution :
Dept. d´Arquitectura de Comput., Univ. Politecnica de Catalunya, Barcelona
Abstract :
The authors present a technique for scheduling partitions in systolic algorithms (SA). This technique can be used in combination with any possible projection used for the problem dependent size SA design and with any possible spatial mapping used for the partitions. They also present the necessary code transformations to transform the sequential code into the code that is executed in a processing element (PE) of the systolic processor (SP). This technique is applied to the matrix by vector problem using a non-unimodular transformation matrix and taking into account input and output of data. Cut&pile spatial mapping is used for the partitions
Keywords :
parallel algorithms; scheduling; systolic arrays; Cut&pile spatial mapping; code transformations; partitions scheduling; sequential code; spatial mapping; systolic algorithms; Convolution; Equations; Matrix decomposition; Partitioning algorithms; Processor scheduling; Proposals; Scheduling algorithm;
Conference_Titel :
Application Specific Array Processors, 1992. Proceedings of the International Conference on
Conference_Location :
Berkeley, CA
Print_ISBN :
0-8186-2967-3
DOI :
10.1109/ASAP.1992.218540